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使用具有高灵敏度和可重复性的表面声波传感器阵列同时检测从癌细胞中分离的外泌体微小RNA。

Simultaneous Detection of Exosomal microRNAs Isolated from Cancer Cells Using Surface Acoustic Wave Sensor Array with High Sensitivity and Reproducibility.

作者信息

Han Su Bin, Lee Soo Suk

机构信息

Department of Pharmaceutical Engineering, Soonchunhyang University, 22 Soonchunhyang-ro, Shinchang-myeon, Asan-si 31538, Chungcheongnam-do, Republic of Korea.

出版信息

Micromachines (Basel). 2024 Feb 7;15(2):249. doi: 10.3390/mi15020249.

DOI:10.3390/mi15020249
PMID:38398977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10892992/
Abstract

We present a surface acoustic wave (SAW) sensor array for microRNA (miRNA) detection that utilizes photocatalytic silver staining on titanium dioxide (TiO) nanoparticles as a signal enhancement technique for high sensitivity with an internal reference sensor for high reproducibility. A sandwich hybridization was performed on working sensors of the SAW sensor array that could simultaneously capture and detect three miRNAs (miRNA-21, miRNA-106b, and miRNA-155) known to be upregulated in cancer. Sensor responses due to signal amplification varied depending on the concentration of synthetic miRNAs. It was confirmed that normalization (a ratio of working sensor response to reference sensor response) screened out background interferences by manipulating data and minimized non-uniformity in the photocatalytic silver staining step by suppressing disturbances to both working sensor signal and reference sensor signal. Finally, we were able to successfully detect target miRNAs in cancer cell-derived exosomal miRNAs with performance comparable to the detection of synthetic miRNAs.

摘要

我们展示了一种用于检测微小RNA(miRNA)的表面声波(SAW)传感器阵列,该阵列利用二氧化钛(TiO₂)纳米颗粒上的光催化银染色作为信号增强技术以实现高灵敏度,并采用内部参考传感器以实现高重现性。在SAW传感器阵列的工作传感器上进行了夹心杂交,该阵列能够同时捕获和检测三种已知在癌症中上调的miRNA(miRNA - 21、miRNA - 106b和miRNA - 155)。由于信号放大导致的传感器响应因合成miRNA的浓度而异。证实归一化(工作传感器响应与参考传感器响应的比率)通过处理数据筛选出背景干扰,并通过抑制对工作传感器信号和参考传感器信号的干扰,使光催化银染色步骤中的不均匀性最小化。最后,我们能够成功检测癌细胞衍生的外泌体miRNA中的靶标miRNA,其性能与合成miRNA的检测相当。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/9feecf86e2cf/micromachines-15-00249-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/3de1630bdf6e/micromachines-15-00249-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/e05bbc3432e0/micromachines-15-00249-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/1bf16a6bbea5/micromachines-15-00249-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/a7362e131615/micromachines-15-00249-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/106aa960b689/micromachines-15-00249-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/2a997c1acc6a/micromachines-15-00249-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/9feecf86e2cf/micromachines-15-00249-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/3de1630bdf6e/micromachines-15-00249-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/e05bbc3432e0/micromachines-15-00249-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/1bf16a6bbea5/micromachines-15-00249-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/a7362e131615/micromachines-15-00249-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/106aa960b689/micromachines-15-00249-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/2a997c1acc6a/micromachines-15-00249-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dcd/10892992/9feecf86e2cf/micromachines-15-00249-g007.jpg

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